جست‌وجوی استاد و پژوهشگر

Aksel Hiorthمشاهده پروفایل

استاد

• Reservoir Engineering
• Geochemical Modeling
• Subsurface Flow Modeling
• +۳ مورد دیگر

Aksel Hiorth is a Professor of Reservoir Technology at the University of Stavanger (UiS) and Chief Scientist at NORCE. He holds a PhD in theoretical physics from the University of Oslo. His research focuses on subsurface flow modeling, geochemical interactions, and applications of porous media principles in medicine. He leads the Computational Engineering master's program and has pioneered workflows like IORSim for field-scale geochemical simulations. Education: PhD in Theoretical Physics (University of Oslo). Research Interests: Multi-scale reservoir modeling (pore to field scale) Geochemical processes in porous media Non-Newtonian fluid dynamics Medical applications of computational fluid dynamics Publications highlight advancements in physics-informed neural networks (PINNs), lattice Boltzmann methods, and EOR (Enhanced Oil Recovery) technologies. His work addresses challenges in reservoir optimization, water diversion strategies, and fluid-rock interactions in chalk reservoirs. Key innovations include predictive models for wettability alteration and mineral dissolution/precipitation. Awards include SR Bank's Innovation Award (2010), NPD's IOR Prize (2010), and Lyse’s Research Award (2013). He contributed to establishing the National IOR Centre of Norway, recognized for advancing improved oil recovery techniques. Advancing interdisciplinary research: His labs integrate computational engineering with petroleum geoscience, bridging fundamental physics and applied reservoir engineering. Current projects explore sustainable reservoir management and biomedical fluid dynamics solutions.

• Process Control
• Petroleum Engineering
• Optimization Algorithms
• +۳ مورد دیگر

Bjarne Foss is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), and Managing Director of the Kavli Institute for Systems Neuroscience. He has been a professor since 1989 and holds a PhD in Engineering Cybernetics from NTNU. His roles include Vice President for Research at NTNU (2017–2020) and Adjunct Professor at the University of South-East Norway (2021–2023). He has extensive board experience with companies like Cybernetica AS, Solution Seeker AS, and KTH Royal Institute of Technology. Foss specializes in process control, reservoir management, and optimization algorithms, with over 300 publications and an H-index of 49. He has supervised 31 PhD students and led major international projects for ESA and EU. Awards include the IBM Open Collaborative Faculty Award (2010, 2011), the Karl Diesel Best Paper Award (1995), and recognition for pedagogical innovation in 2007. His research focuses on enhancing oil production efficiency, automation in energy systems, and control strategies for complex industrial processes. His education includes a PhD from NTNU (Engineering Cybernetics) and an MSc degree awarded with the prestigious «Innstilling» honor. Professional activities include editorial roles, IEEE Senior Membership, and leadership in international committees like IFAC. Foss co-founded Solution Seeker AS (2013), Cybernetica AS (2000), and FIRST Scandinavia (2000). Recent work emphasizes distributed optimization for large-scale oil systems, dynamic control under uncertainty, and shale-gas production strategies. His publications span journals like IEEE Transactions on Automatic Control and Journal of Petroleum Science and Engineering , addressing challenges in reservoir control, model predictive control, and well-placement optimization.

Jan Tommy Gravdahlمشاهده پروفایل

استاد

• Mathematical Modeling
• Nonlinear Control Systems
• Spacecraft Control
• +۵ مورد دیگر

Jan Tommy Gravdahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). He holds a dr.ing (PhD equivalent) in Engineering Cybernetics from NTNU (1998) and served as department head (2008/09). His research focuses on mathematical modeling and nonlinear control, with applications in spacecraft, robots, ships, and turbomachinery. He has supervised 10 PhD and 78 MSc students, authored/co-authored over 150 publications, and books like *Compressor Surge and Rotating Stall: Modeling and Control* (1999). Education: Siv.ing (1994), dr.ing (1998) from NTNU Leadership: Deputy department head (2006-07), department head (2008/09) Research interests include spacecraft formation flying, attitude control, and coordinated control systems. Notable projects include NTNU Cubesat and contributions to the European Student Earth Orbiter (ESEO). Publications highlight advancements in spacecraft control, nonlinear systems, and model predictive control. His work on robustness in ISS systems earned a Best Student Paper Award (2010). Collaborations involve ESA, Norwegian Space Centre, and Narvik University College. Awards: IEEE Outstanding Paper Award (2000) Advised over 80 students, contributing to academic and industrial advancements in aerospace and control systems. Active in international conferences and educational initiatives like SSETI.

• Thermoacoustics
• Combustion Systems
• Fluid Dynamics
• +۳ مورد دیگر

Jonas Moeck is a Professor at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on thermoacoustics, combustion systems, and nonlinear dynamics, with a particular emphasis on understanding and stabilizing combustion instabilities in gas turbine combustors. He has contributed extensively to the study of can-annular combustors, acoustic spectra analysis, and flame transfer functions. His work integrates advanced numerical methods and experimental validation to address challenges in combustion stability and acoustic mode interactions. Recent research explores the dynamics of ammonia-hydrogen blends and autoignition fronts, highlighting innovations in low-carbon fuel systems. Moeck collaborates internationally and has published in top-tier journals like Combustion and Flame and Journal of Fluid Mechanics . Key research themes include: combustion instability mechanisms, thermoacoustic eigenvalue problems, plasma-assisted combustion, and the application of quantum-mechanical methods to fluid dynamics. His studies often address practical engineering challenges in turbine design and emission reduction. Publications span combustion physics, acoustics, and nonlinear systems, with a focus on interdisciplinary approaches to solving complex fluid-thermal interactions. Current work emphasizes predictive modeling of intrinsic oscillations and the development of robust stability criteria for modern combustor configurations.

• Marine Automation
• Aquaculture Systems
• Fish Telemetry
• +۴ مورد دیگر

Jo Arve Alfredsen is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), where he has worked since 2004. His research focuses on applying automation, mathematical modeling, and sensor systems to enhance marine production and aquaculture technologies. He coordinates the Fisheries and Aquaculture Systems research group and teaches courses including industrial computer systems design and fish telemetry. PhD in Engineering Cybernetics, NTNU MSc in Engineering Cybernetics, NTNU Alfredsen's research integrates systems biology with cybernetic principles to develop advanced monitoring and control systems for marine environments. His work addresses challenges in aquaculture through numerical simulations, telemetry technology, and sensor network design, aiming to optimize fish welfare and production efficiency. Recent publications demonstrate expertise in underwater robotics, fish behavior analysis, and environmental monitoring. Key topics include wave-propelled unmanned vehicles, dissolved oxygen modeling, and telemetry-based stress indicators. All 15 most recent articles focus on marine automation, sensor integration, and aquaculture optimization. He has developed specialized tools for feed distribution analysis, fish health monitoring, and current flow assessment, contributing to precision aquaculture frameworks. His team's work on acoustic telemetry systems and biometric sensors has advanced real-time monitoring capabilities in commercial marine farms.

• Control Theory
• Marine Cybernetics
• Robotics
• +۳ مورد دیگر

Erlend Andreas Basso is a postdoctoral researcher at the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on applying Control Theory , Marine Cybernetics , and Robotics to develop advanced control systems for autonomous vehicles and robotic manipulators. Academic Affiliation: Norwegian University of Science and Technology (NTNU) Department: Technical Cybernetics Research Focus: Autonomous navigation, safety-critical control, and hybrid feedback systems for marine and aerial vehicles Basso's work bridges Feedback Control , Optimal Control , and Autonomous Systems through mathematical modeling and algorithm development. His publications demonstrate expertise in 3D Guidance Systems , Sliding Mode Control , and Task-Priority Frameworks , with applications in underwater robotics, collision avoidance, and marine vehicle autonomy. Recent trends in his Google Scholar profile show increasing emphasis on Machine Learning Integration for control systems, Reinforcement Learning for path optimization, and Safety-Critical Systems in maritime environments. His collaborations with researchers at NTNU and international institutions reflect cross-disciplinary approaches to Marine Technology and Underwater Localization . For contact, his primary email is erlend.a.basso@ntnu.no . His GitHub profile includes technical repositories related to embedded systems, multirotor dynamics, and OSQP quadratic programming solvers.

• Robotics
• Control Systems
• Applied Mathematics
• +۳ مورد دیگر

Amer Orucevic is a Postdoctoral Fellow in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems for underwater snake robots, particularly in stability analysis, path following, and optimization in fluid dynamics environments. Key collaborators: Kristin Y. Pettersen, Jan Tommy Gravdahl, Marianna Wrzos-Kaminska, Mads E. B. Lysø Active research areas: Nonlinear control, extremum-seeking algorithms, vector field navigation Scientific Contributions: Recent publications address practical stability frameworks, vortex wake interactions, and sinusoidal gait tracking. Collaborative work spans IEEE Transactions on Control Systems Technology, IFAC-PapersOnLine, and conference proceedings.

• Control Systems Engineering
• UAV Flight Control
• Nonlinear Model Predictive Control
• +۳ مورد دیگر

Dirk Peter Reinhardt is a Postdoctoral Fellow in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on advanced control systems for unmanned aerial vehicles with particular expertise in nonlinear model predictive control and reinforcement learning applications. Dr. Reinhardt's research spans several key areas in control engineering: Nonlinear Model Predictive Control (NMPC) for UAV flight systems Reinforcement Learning applications in flight control UAV attitude and path-following control systems Flight dynamics modeling and system identification Embedded control systems for autonomous aircraft Sensor calibration and wind tunnel testing His publication record from 2019-2024 demonstrates a progression from fundamental control theory to increasingly complex real-world applications, with numerous field experiments validating theoretical approaches. Dr. Reinhardt frequently collaborates with researchers at NTNU, particularly with Tor Arne Johansen and Sebastien Nicolas Gros, and has published in top venues including IEEE Transactions, IFAC World Congress, and International Conference on Unmanned Aircraft Systems. Dr. Reinhardt's laboratory work involves extensive flight testing of fixed-wing UAVs, including the Skywalker X8 platform, with a focus on validating control algorithms under various conditions including challenging scenarios like icing conditions. His recent research shows growing interest in data-efficient learning methods and robust control for adverse flight conditions.

• Control Systems
• Marine Robotics
• Autonomous Vehicles
• +۳ مورد دیگر

Henrik Schmidt-Didlaukies is a postdoctoral fellow at the Department of Technical Cybernetics , Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems for marine and aerial vehicles, including hybrid feedback, adaptive algorithms, and safety-constrained navigation. Current affiliation: NTNU, Department of Technical Cybernetics Research areas: Control Systems, Robotics, Autonomous Navigation Contact: henrik.schmidt@ntnu.no His recent work includes 3D path-following for autonomous vehicles, Kalman filtering for inertial navigation, and reinforcement learning for marine guidance. Publications in IEEE and IFAC journals highlight his contributions to impedance control, cooperative transport, and bearing-based localization. Key subfields: Adaptive control, underwater robotics, multirotor tracking, and extremum-seeking optimization.

• Power Electronics
• Control Systems
• Power System Stability
• +۶ مورد دیگر

Jon Are Wold Suul serves as an Associate Professor II at the Department of Technical Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He also maintains a dual role as a researcher at SINTEF Energy, specifically at the Gløshaugen campus. His academic appointment focuses on control of maritime power conversion systems, bridging theoretical research with practical applications in energy systems. Dr. Suul earned his PhD from NTNU's Department of Electrical Power Engineering, establishing a strong foundation in power systems and control theory that informs his current research trajectory. His educational background has positioned him at the intersection of electrical engineering and cybernetics, with particular expertise in power electronics applications. Dr. Suul's research spans multiple critical areas in modern power systems, with particular emphasis on power electronics control and energy conversion systems . His work addresses fundamental challenges in grid stability through advanced control of virtual synchronous machines and power oscillation damping. He has made significant contributions to wireless power transfer technologies, particularly for electric vehicle charging applications, where his research on inductive power transfer systems has advanced efficiency and reliability under varying coupling conditions. His maritime power conversion research supports the electrification of shipping through innovative shore-to-ship charging solutions. Analysis of Dr. Suul's recent publications reveals a strong focus on power system stability in the context of increasing power electronic interfaced generation. His work bridges theoretical control methods with practical power system applications, particularly in grid-forming converter technologies, wireless power transfer systems, and maritime electrification. The research demonstrates consistent innovation in control algorithms for power electronic converters, with growing emphasis on system-level integration challenges as renewable energy penetration increases. Dr. Suul actively supervises graduate students, with documented master's thesis supervision in areas including drone propulsion systems and electric motor control. His collaborative research approach is evident through extensive co-authorship with colleagues from NTNU, SINTEF, and international institutions. While specific grant information isn't detailed in the provided text, his productive publication record across multiple journals suggests successful research funding. Through his dual affiliation with NTNU and SINTEF Energy, Dr. Suul operates within a robust research ecosystem focused on energy conversion technologies. His work with SINTEF Energy at Gløshaugen provides access to advanced laboratory facilities for testing power electronic systems, while his academic position enables training of next-generation engineers in these critical technologies.

• Microbial Bioprocess Control
• Biotechnology
• Control Engineering
• +۵ مورد دیگر

Prof. Nadav Bar is a Professor at the Department of Chemical Engineering, NTNU, leading the Microbial Feedback Control (MFC) laboratory. His research focuses on integrating biotechnology with control theory to develop feedback systems for microbiological processes. He coordinates major EU projects including iCulture (7.8M€, 2023-2028) and AILEEN (1.5M€, 2023-2028), focusing on AI-driven microbial control and food safety. His lab specializes in real-time bioprocess control using advanced methods like Model Predictive Control (MPC) and Reinforcement Learning, alongside Digital Twin technologies for bioreactor monitoring. Key projects include optimizing food preservation via high-pressure processing (SafeFood, 2016-2019) and COPD diagnosis through systems biology (ERA SysMed-COPD, 2018-2022). His research spans microbial fermentation optimization, gene regulatory network analysis, and systems biology. Current PhD students include Fabienne Roessler and Yiwen Li. The lab actively recruits students in control engineering, biotechnology, and analytical chemistry. Notable contributions include developing noise reduction algorithms for gene expression data and advancing sensor fusion techniques in bioprocess monitoring. Research Themes: Feedback control of microorganisms, hybrid modeling with machine learning, optimal control of bio-processes, microbial sensor systems, and COPD systems biology. Lab infrastructure includes state-of-the-art bioreactors, autosamplers, and software tools like MATLAB-CASADI for real-time control. Key Publications: Recent works focus on robust bioprocess optimization using spent sulfite liquor (2024), advanced state estimation in bioreactors (2023), and high-pressure processing effects on Listeria monocytogenes transcriptomes (2021). Over 50 peer-reviewed articles demonstrate cross-disciplinary impact across biotechnology and control engineering.

• Software-intensive systems
• Digital transformation
• Artificial intelligence
• +۱۶ مورد دیگر

Anniken Susanne Thoresen Karlsen is an Associate Professor in the Department of ICT and Science at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). She has extensive experience in research and teaching, with a focus on digital transformation, software-intensive systems, and emerging technologies. Karlsen holds leadership roles including deputy chair of the interdisciplinary NTNU research group SHAPE and active participation in multiple research centers. Her educational background includes: PhD in Information Science from the University of Bergen (UiB) Master's degree in Information Technology from Aalborg University (AAU) in Denmark Master of Science in Economics from the Norwegian School of Economics (NHH) Computer Engineering degree from Møre og Romsdal School of Engineering (MRIH) One-year practical-pedagogical education from NHH and UiB NTNU's UniPed program for employees Professor Karlsen's research spans a wide spectrum of digital transformation topics. Her work focuses on the integration of concepts from multiple domains to design and develop software-intensive systems. She explores modern software development methodologies, socio-technical systems thinking, and systems engineering approaches. A significant portion of her research addresses emerging technologies such as digital twins, virtual reality, and service robots as building blocks for innovative solutions. She also investigates the digital economy and sustainable development through digital transformation, with particular emphasis on business modeling and change management. Her recent publications demonstrate a strong focus on applying digital technologies to solve real-world problems across multiple sectors. There's a clear trend toward using digital twin technology in various contexts including urban planning, offshore wind farms, and healthcare. Her work in search and rescue operations shows consistent application of AI and knowledge management techniques. Karlsen's research bridges theoretical concepts with practical applications, particularly in sustainability-focused domains like renewable energy and healthcare. Professor Karlsen actively supervises students at all academic levels and has been involved in numerous research projects. She has held various academic leadership positions including vice-dean, head of department, and research group leader. Her collaborative work spans multiple sectors including healthcare, search and rescue, offshore, banking, food, and construction industries. She is affiliated with several research groups and centers: SHAPE - SamHandlingsArena for Prosjektledelse og Endring (2023-present), Deputy Chair The Norwegian Open AI Lab (NAIL) (2023-present) Green2050 - The Centre for Green Shift in the Built Environment (2022-present) Forskningsarena for bærekraftsanalyse (2020-present), Deputy Leader Forskningsgruppen for bærekraftig digital transformasjon, SDT (2017-present), Founder and former Leader

• Biomedical Engineering
• Systems Biology
• Control Systems
• +۳ مورد دیگر

Laura Lema Pérez is a Research Fellow at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). Her work focuses on interdisciplinary systems engineering with applications in biomedical systems, particularly glucose modeling and artificial pancreas development. She is affiliated with the Gløshaugen campus and collaborates with institutions like Universidad Nacional de Misiones and IEEE. Her research emphasizes model interpretability in biotechnological processes, glucose dynamics analysis, and nonlinear control systems. Key contributions include frameworks for evaluating model transparency and algorithms for meal detection using ECG signals. She has published extensively in journals like Ecological Modelling and IEEE conference proceedings . Her outreach activities include presentations at the Advanced Technologies & Treatments for Diabetes (ATTD) conferences and the IEEE Engineering in Medicine & Biology Society. Collaborators include experts in control systems, biomedical engineering, and computational biology.

• Control Systems
• Marine Robotics
• Autonomous Systems
• +۳ مورد دیگر

Henrik Schmidt-Didlaukies is a Research Fellow in the Department of Engineering Cybernetics at NTNU. His work focuses on advanced control systems for marine and robotic systems, with a particular emphasis on path following, navigation, and robust control methodologies. He has contributed to projects involving underwater vehicles, autonomous marine systems, and sensor-based control strategies. His research integrates theoretical frameworks with practical applications, including experiments in confined maritime environments and cooperative robotic systems. Key research areas include: Nonlinear control and adaptive systems Path planning and guidance algorithms Underwater robotics and vehicle dynamics Autonomous navigation and sensor fusion Collision avoidance and safety-critical systems Recent work highlights include developing anti-windup guarantees for curved path guidance, learning-based optimization for marine vehicles, and experimental validation of obstacle-aware collision avoidance. He has presented findings at major conferences including IFAC World Congress and IEEE OES events.

• Control Systems
• Drilling Engineering
• Hyperbolic Partial Differential Equations (PDEs)
• +۵ مورد دیگر

Ole Morten Aamo is a Professor in the Department of Engineering Cybernetics at NTNU. His research focuses on advanced control systems for complex engineering problems, particularly in drilling engineering and hyperbolic partial differential equations (PDEs). He holds a prominent position within the field of adaptive control, nonlinear systems, and fluid dynamics. His work often addresses challenges in offshore drilling, including vibration control, leak detection, and real-time data-driven decision-making. He employs cutting-edge methodologies like physics-informed neural networks and backstepping control designs. Key contributions include models for percussive drilling, distributed damping systems for reducing stick-slip vibrations, and adaptive control strategies for hyperbolic PDE systems. Recent publications highlight advancements in fault diagnosis for drilling operations, boundary control of hyperbolic systems, and the integration of machine learning for lithology classification. His interdisciplinary approach bridges theoretical control systems with practical applications in energy and mining sectors. He has supervised numerous PhD and master’s students, including Haavard Holta, Nils Christian Aars Wilhelmsen, and Mia Olea Vettestad. His research groups collaborate with industry partners to translate theoretical innovations into deployable solutions for drilling automation and process safety. Notable projects include the development of real-time kick/loss detection systems and the design of decentralized damping subs for drilling rigs. His work is frequently published in top-tier journals like Automatica , IEEE Transactions on Automatic Control , and SPE Journal .